0. ReadMe.txtThis folder contains the replication datasets and codes for "Differential Efficacy of Survey Incentives Across Contexts: Experimental Evidence from Australia, India, and the United States� by Katie M. Conn, Cecilia H. Mo, and Bhumi Purohit, accepted for publication in Political Science Research and Methods.The replication file contains the following items:1. Replication Script_Incentives_PSRM.R: This file contains R script to conduct analysis for Figures 1-2, Appendix Tables B1-B3, Appendix C,  Appendix D, and Appendix F (Except Table F2). The file uses the datasets: 1a. ind_incentives_psrm.dta: This dataset contains all data and variables to conduct response rates, completion rates, and balance tests for India1b. us_incentives_psrm.dta: This dataset contains all data and variables to conduct response rates, completion rates, and balance tests for U.S. 2015 study1c. aus_incentives_psrm.dta: This dataset contains all data and variables to conduct response rates, completion rates, and balance tests for Australia
1d. us2024_incentive_psrm: This dataset contains all data and variables to conduct response rates, completion rates, and balance tests for U.S. 2024 replication study2. Appendix_Incentives_PSRM.do: This files contains Stata script to conduct analysis for Appendix Tables B4, B5, B6, and Appendix Table F2. This file uses datasets 1a, 1b, 1c, and 1d outlined above.3. Replication Script_Ultimatum Game_PSRM.R: This file contains R script to conduct analysis for Figure 3, Table 1, and Appendix G. The file uses the datasets:3a. ind_dictator_final.dta: This datasets contains all data and variables form the ultimatum game from the India survey3b. us_dictator_final.dta: This datasets contains all data and variables form the ultimatum game from the U.S. survey3c. aus_dictator_final.dta: This datasets contains all data and variables form the ultimatum game from the Australia surveyAdditional information about the computer that successfully ran the script:- RAM: 16 GB- Operating System: macOS Sonoma 14.2.1- R Version: 2023.12.1+402- R Packages and Versions Used: texreg_1.39.3, lubridate_1.9.3, forcats_1.0.0, stringr_1.5.1, purrr_1.0.2, readr_2.1.5, tibble_3.2.1, tidyverse_2.0.0, readxl_1.4.3       tidyr_1.3.1, scales_1.3.0, ggpubr_0.6.0, ggplot2_3.4.4, dplyr_1.1.4, magrittr_2.0.3, readstata13_0.10.1- Stata Version: SE/18.0